MetaSpace II: Object and full-body tracking for interaction and navigation in social VR

Sra, Misha; Schmandt, Chris

doi:10.48550/arxiv.1512.02922

Cited by 6 publications

(7 citation statements)

References 30 publications

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“…For example, inclusion of smells [168,169] and haptics [170] have shown to improve sense of immersion. Haptics can be used to provide the user with cues about physical characteristics of an object (e.g., weight or texture) hence increase sense of realism [171,172]. Vibrotactile feedback, in turn, provides feedback when interacting with virtual devices [173], thus also improving the sense of realism [174].…”

Section: Multiple-sensorial Media Applicationsmentioning

confidence: 99%

Immersive media experience: a survey of existing methods and tools for human influential factors assessment

2022

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Virtual reality (VR) applications, especially those where the user is untethered to a computer, are becoming more prevalent as new hardware is developed, computational power and artificial intelligence algorithms are available, and wireless communication networks are becoming more reliable, fast, and providing higher reliability. In fact, recent projections show that by 2022 the number of VR users will double, suggesting the sector was not negatively affected by the worldwide COVID-19 pandemic. The success of any immersive communication system is heavily dependent on the user experience it delivers, thus now more than ever has it become crucial to develop reliable models of immersive media experience (IMEx). In this paper, we survey the literature for existing methods and tools to assess human influential factors (HIFs) related to IMEx. In particular, subjective, behavioural, and psycho-physiological methods are covered. We describe tools available to monitor these HIFs, including the user's sense of presence and immersion, cybersickness, and mental/affective states, as well as their role in overall experience. Special focus is placed on psycho-physiological methods, as it was found that such in-depth evaluation was lacking from the existing literature. We conclude by touching on emerging applications involving multiple-sensorial immersive media and provide suggestions for future research directions to fill existing gaps. It is hoped that this survey will be useful for researchers interested in building new immersive (adaptive) applications that maximize user experience.

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Section: Multiple-sensorial Media Applicationsmentioning

confidence: 99%

Immersive media experience: a survey of existing methods and tools for human influential factors assessment

2022

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“…Considering VR as a learning tool that may also appeal for private use, such as home-based training, it would be unrealistic to assume that the previously described technology is affordable for a private user or household. Therefore, other systems emerged as a practical alternative [9,10]. High Tech Computer Corporation (HTC, Taiwan) has developed a wireless, battery-powered photoreceptive tracker (the HTC VIVE Tracker), allowing for the visualization of body limbs through replacing the trackers' mesh with a realistic-looking body mesh (often the forearms) [11].…”

Section: Introductionmentioning

confidence: 99%

Measurement Accuracy of the HTC VIVE Tracker 3.0 Compared to Vicon System for Generating Valid Positional Feedback in Virtual Reality

Merker,

Pastel,

Bürger

et al. 2023

Sensors

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For realistic and reliable full-body visualization in virtual reality, the HTC VIVE Tracker could be an alternative to highly complex and cost- and effort-intensive motion capture systems such as Vicon. Due to its lighter weight and smaller dimensions, the latest generation of trackers is proving to be very promising for capturing human movements. The aim of this study was to investigate the accuracy of the HTC VIVE Tracker 3.0 compared to the gold-standard Vicon for different arrangements of the base stations and various velocities during an athletic movement. Therefore, the position data from three trackers attached to the hip, knee and ankle of one sporty participant were recorded while riding a bicycle ergometer at different pedaling frequencies and different base station arrangements. As parameters for the measurement accuracy, the trajectories of the linear motion of the knee and the circular motion of the ankle were compared between VIVE and Vicon by calculating the spatial distance from the raw data at each point in time. Both the pedaling frequency and the arrangement of the base stations significantly affected the measurement accuracy, with the lowest pedaling frequency of 80 rpm and the rectangular arrangement recommended by the manufacturer showing the smallest spatial differences of 10.4 mm ± 4.5 mm at the knee and 11.3 mm ± 5.1 mm at the ankle. As the pedaling frequency increased gradually (120 rpm and 160 rpm), the measurement accuracy of the trackers per step decreased less at the knee (approximately 5 mm) than at the ankle (approximately 10 mm). In conclusion, the measurement accuracy for various athletic skills was high enough to enable the visualization of body limbs or the entire body using inverse kinematics in VR on the one hand and, on the other hand, to provide initial insights into the quality of certain techniques at lower speeds in sports science research. However, the VIVE trackers are not suitable for exact biomechanical analyses.

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“…Thus, the sense of immersion and presence in the virtual simulation is enhanced when the movements of the virtual avatar align with those of the user in the real world [44,45,53]. A distinct example of this is when users observe their virtual hands and arms move in synchronization with their physical actions, enriching their immersive experience [35,46,56].…”

Section: Introductionmentioning

confidence: 99%

Giant Finger: A Novel Visuo-Somatosensory Approach to Simulating Lower Body Movements in Virtual Reality

Kang,

Kim,

Kim

2023

2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

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Figure 1: Giant Finger method employs enlarged fingers that replace the legs and become a part of the virtual body. (a) Users can fly and (b) kick a high target that exceeds the capabilities of human legs. It supports hyper movements that are difficult to perform with two legs while providing a congruent somatosensory experience with the two fingers. (c) Based on the research results, we present software and hardware demonstrations that can be integrated into Giant Finger for wider applications.

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MetaSpace II: Object and full-body tracking for interaction and navigation in social VR

Cited by 6 publications

References 30 publications

Immersive media experience: a survey of existing methods and tools for human influential factors assessment

Immersive media experience: a survey of existing methods and tools for human influential factors assessment

Measurement Accuracy of the HTC VIVE Tracker 3.0 Compared to Vicon System for Generating Valid Positional Feedback in Virtual Reality

Giant Finger: A Novel Visuo-Somatosensory Approach to Simulating Lower Body Movements in Virtual Reality

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